BigFoot: Analysis, monitoring, tracking and sharing of bio-medical features of human appendages using consumer-grade home and office based imaging devices
Sam Mavandadi, Steve Feng, Frank Yu, Richard Yu, Aydogan Ozcan

TL;DR
BigFoot is a system that leverages consumer-grade imaging devices to analyze, monitor, and track bio-medical features of human feet, enabling accessible personal and professional health management.
Contribution
It introduces a novel system for bio-medical image analysis using off-the-shelf devices, with a focus on foot health monitoring and tracking.
Findings
Effective analysis of foot features using consumer devices
Real-time monitoring capabilities demonstrated
Potential for widespread health application
Abstract
Here we describe a system for personal and professional management and analysis of bio-medical images captured using off-the-shelf, consumer-grade imaging devices such as scanners, digital cameras, cellphones, webcams and tablet PCs. Specifically, we describe an implementation of this system for the analysis, monitoring and tracking of conditions and features of human feet using a flatbed scanner as the image capture device and a custom-designed set of algorithms and software to manage and analyze the acquired data.
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Taxonomy
TopicsDiabetic Foot Ulcer Assessment and Management · Non-Invasive Vital Sign Monitoring · Optical Imaging and Spectroscopy Techniques
